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» Exploiting Background Knowledge for Relation Extraction
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ESANN
2006
14 years 12 days ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 4 months ago
Limits in Long Path Learning with XCS
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Alwyn Barry
BMCBI
2010
163views more  BMCBI 2010»
13 years 11 months ago
Integration of open access literature into the RCSB Protein Data Bank using BioLit
Background: Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been ...
Andreas Prlic, Marco A. Martinez, Dimitris Dimitro...
IWANN
2009
Springer
14 years 5 months ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
13 years 11 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...